{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ac7d408f-4d97-4627-b86d-87dbfc51169a",
   "metadata": {},
   "source": [
    "Chapter 12\n",
    "# 用列表创建有向图\n",
    "Book_6《数据有道》 | 鸢尾花书：从加减乘除到机器学习"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d72dc443-ba8d-431d-99a7-27467c2d4ce6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3f4d8ceb-6706-4323-b9f0-0426a4376f69",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建list\n",
    "edgelist = [('b', 'a'),\n",
    "            ('b', 'd'),\n",
    "            ('d', 'c'),\n",
    "            ('c', 'b'),\n",
    "            ('a', 'c')]  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "494abe8c-a8f5-4ef5-97b9-2b522a03f17d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建无向图\n",
    "G = nx.from_edgelist(edgelist,\n",
    "                     create_using=nx.Graph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "95460a35-5935-4347-852e-04f6521f1696",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NodeView(('b', 'a', 'd', 'c'))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f7b05454-14ac-4ec1-a513-2e2659eca383",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeView([('b', 'a'), ('b', 'd'), ('b', 'c'), ('a', 'c'), ('d', 'c')])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9dc8cf80-2ca1-4f35-af79-2a2f746a15c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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p9XoYDAbs3bsXFRUVdj02kdq5bCE/9dRTWLRoETIzM9GHiwBE1A+KosDDwwOTJ0+2+7ETExPh6+uLrVu32v3YRGrmsoUM2O5HFRcX4/Dhw6KjELkURVEwefJkeHt72/3YgYGBWL9+PXJzc9HU1GT34xOplUsX8vz58zFp0iRObRLZmT1W6OqNwWDA7du38f777zvsZxCpjUsXsiRJMBqN+Oijj1BWViY6DpFLaGtrQ0lJiUMLecKECVi8eDEyMjJ4y4nchksXMgCsXr0agYGByMnJER2FyCWcOXMGra2tDi1kADCZTDh9+jS+/PJLh/4cIrVw+UL28/PDhg0b8Pbbb6OxsVF0HCLN69gDOTY21qE/Z968eZgyZQpvOZHbcPlCBoC0tDTU19dj586doqMQaZ6iKJgwYYLD1yTo2Cv5k08+waVLlxz6s4jUwC0KeezYsfjZz36GrKwsWCwW0XGINM3RA12dvf766wgODkZ2drZTfh6RSG5RyIDtEaizZ8/i0KFDoqMQaZbFYkFxcbHTCtnX1xebNm3C9u3bUV9f75SfSSSK2xTyCy+8gLi4OGRlZYmOQqRZV65cQX19vV32QO6r1NRUNDU1IT8/32k/k0gEtylkSZIgyzIOHDiA8+fPi45DpEkdA13OOkMGgPDwcMTHxyMrKwtms9lpP5fI2dymkAFg1apVCA0N5f0oogEqKipCeHg4RowY4dSfK8syLl++jP379zv15xI5k1sVso+PDzZt2oQdO3agrq5OdBwizXHmQFdnM2bMwKxZs5CRkeH0n03kLG5VyACQkpKClpYWbN++XXQUIs0RVciAbaGQL7/8EqdOnRLy84kcze0KOSwsDPHx8cjOzub9KKJ+qKqqws2bN4UV8vLlyxEREcGFQshluV0hA7b7UVeuXMGnn34qOgqRZogY6OrM09MT6enpeO+991BdXS0kA5EjuWUhT58+HbNnz+Zv2kT9oCgKhg4dinHjxgnLsGHDBuh0Orz11lvCMhA5ilsWMmA7S+b9KKK+UxQFcXFxkCRJWIaQkBCsXr0aW7ZsQWtrq7AcRI7gtoXccT+KC4UQ9Y3Iga7OjEYjqqqq8Ic//EF0FCK7cttC9vT0RFpaGt577z3U1NSIjkOkanV1dbh8+bIqCnny5MmYP38+90oml+O2hQwAycnJAIBt27YJTkKkbsXFxQDEDXQ9TJZlnDhxAkePHhUdhchu3LqQQ0JC8Itf/AJbtmxBW1ub6DhEqqUoCnx8fBAdHS06CgBg4cKFmDhxIgczyaW4dSEDtvtRFRUV+OMf/yg6CpFqKYqCmJgYeHh4iI4CANDpdDAajfjjH/+I69evi45DZBduX8gxMTGYN28eh7uIeqGWga7O1q1bB39/f+Tk5IiOQmQXbl/IgO1+1NGjR3H8+HHRUYhUp7m5GaWlpaorZH9/f7zxxhvYtm0bGhsbRcchGjQWMoDFixcjMjKS96OIunH69GmYzWan7oHcV+np6airq0NBQYHoKESDxkIGoNfrYTAYsHfvXlRVVYmOQ6QqRUVF0Ov1iImJER3lEZGRkVi6dCkyMzP5CBRpHgv5O4mJifD29sbWrVtFRyFSFUVREB0dDV9fX9FRumUymXDmzBkcOnRIdBSiQWEhfycoKAjr1q1Dbm4umpubRcchUg01DnR19uKLLyIuLo57JZPmsZA7MRgMqK6uxu7du0VHIVIFs9mMU6dOqbqQJUmCyWTCf//3f+PcuXOi4xANGAu5k6eeegqLFi3i/Sii75w7dw5NTU2qLmQAWLVqFUaMGIHs7GzRUYgGjIX8EFmWUVxcjMOHD4uOQiRcxx7IcXFxYoM8hre3N1JSUrBjxw7cvXtXdByiAWEhP2T+/PmYNGkSH4Eigq2Qx40bh2HDhomO8libNm1Ca2sr3nnnHdFRiAaEhfwQSZJgNBrx0UcfoaysTHQcIqHUPtDV2ahRo/Daa68hOzsb7e3touMQ9RsLuRurV69GYGAgl+Qjt2a1WjVVyIDtltPVq1fx8ccfi45C1G8s5G74+flhw4YNePvtt7kkH7mta9eu4c6dO5oq5GeeeQYvvPACH4EiTWIh9yAtLQ319fXYuXOn6ChEQnQMdGmpkAHbQiGHDx9GUVGR6ChE/cJC7sHYsWOxbNkyZGVl8REockuKoiA0NBTh4eGio/TL0qVLMWbMGA5mkuawkHshyzLOnj3LJfnILXXcP5YkSXSUfvHw8IDBYMDu3btx48YN0XGI+oyF3IuOJfn4mza5I60NdHX2xhtvwMPDA7m5uaKjEPUZC7kXkiRBlmUcOHAA58+fFx2HyGmqq6tRXl6u2UIeNmwY1q1bh61bt6KlpUV0HKI+YSE/xqpVqxAaGsol+citdAx0qXEP5L4yGo24desW16YnzWAhP4aPjw82bdqEHTt2oK6uTnQcIqdQFAUBAQF48sknRUcZsKioKCxcuJBr05NmsJD7ICUlBS0tLdi+fbvoKEROoSgKYmNjodNp+38RsixDURSuTU+aoO13m5OEhYUhPj4e2dnZMJvNouMQOZyWB7o6W7BgAdemJ81gIfeRLMu4cuUKPv30U9FRiByqoaEBFy5ccIlC5tr0pCUs5D6aPn06Zs+ezd+0yeWdPHkSVqvVJQoZsK1NHxQUhM2bN4uOQtQrFnI/yLKML7/8EqdOnRIdhchhFEWBp6cnnn76adFR7KLz2vQNDQ2i4xD1iIXcD8uXL0dERASysrJERyFyGEVRMGXKFHh5eYmOYjdpaWloaGjAu+++KzoKUY9YyP3g6emJtLQ0vPfee6ipqREdh8ghXGWgq7MxY8Zg+fLlyMzMhMViER2HqFss5H7asGEDAGDbtm2CkxDZX2trK06fPu1yhQzYdoG6cOECPvvsM9FRiLrFQu6n4cOHIyEhAVu2bEFbW5voOER2VVpaira2Npcs5NmzZ+PZZ5/lXsmkWizkAZBlGRUVFfjwww9FRyGyK0VRIEkSYmNjRUexO0mSYDKZcOjQIZSWloqOQ/QIFvIAxMTEYN68eXwEilyOoiiYOHEi/P39RUdxiJUrVyIsLIyDmaRKLOQBkmUZR48exfHjx0VHIbIbVxzo6szLywupqanYuXMnbt++LToOURcs5AFavHgxIiMjeZZMLsNisaC4uNilCxkANm7cCIvFgry8PNFRiLpgIQ+QXq+HwWDA3r17UVVVJToO0aBdvHgRDQ0NLl/IoaGhSEhIwObNmzmYSarCQh6ExMREeHt7Y+vWraKjEA1axx7Irl7IgO2WU3l5OQoLC0VHIXqAhTwIQUFBWLduHXJzc9Hc3Cw6DtGgKIqC0aNHIzQ0VHQUh5s6dSrmzp3LR6BIVVjIg2QwGFBdXY3du3eLjkI0KK4+0PUwk8mEo0eP4ptvvhEdhQgAC3nQnnrqKSxatAiZmZmwWq2i4xANiNVqdbtC5mAmqQ0L2Q5kWUZxcTEOHz4sOgrRgFRWVqK6utqtClmv18NoNGLv3r2orKwUHYeIhWwP8+fPx6RJk/ibNmmWOw10dbZ+/Xr4+Phgy5YtoqMQsZDtQZIkGI1GfPTRRygrKxMdh6jfFEXBsGHDMGbMGNFRnCooKAiJiYl466230NTUJDoOuTkWsp2sXr0agYGB/E2bNKnj/rEkSaKjOJ3BYEBtbS3ef/990VHIzbGQ7cTPzw9JSUnIy8tDY2Oj6DhE/eJuA12dTZgwAYsXL+ZgJgnHQraj9PR01NfXY9euXaKjEPXZnTt3UFZW5raFDNgGM0tKSvDll1+KjkJujIVsR2PHjsWyZcuQlZXF37RJM4qLiwG430BXZz/84Q8xZcoUDmaSUCxkO5NlGWfOnMGhQ4dERyHqE0VR4Ovri6ioKNFRhJEkCbIs45NPPsGlS5dExyE3xUK2sxdffBFxcXH8TZs0Q1EUTJ06FXq9XnQUoRISEhAcHIzs7GzRUchNsZDtrOM37QMHDuD8+fOi4xA9ljsPdHXm6+uLjRs3Yvv27aivrxcdh9wQC9kBVq1ahdDQUP6mTap3//59nDlzhoX8ndTUVDQ1NSE/P190FHJDLGQH8PHxwaZNm7Bjxw7U1dWJjkPUo5KSElgsFhbydyIiIrBy5UpkZWXBbDaLjkNuhoXsICkpKWhpacH27dtFRyHqkaIo0Ov1iImJER1FNUwmEy5fvoz9+/eLjkJuhoXsIGFhYYiPj0d2djZ/0ybVUhQFTz/9NHx8fERHUY0ZM2Zg1qxZ3CuZnI6F7ECyLOPKlSv49NNPRUch6hYHurpnMpnw5Zdf4tSpU6KjkBthITvQ9OnTMXv2bD4CRarU3t6OkpISFnI3li9fjoiICGRlZYmOQm6EhexgsizzN21SpbNnz6K5uZmF3A1PT0+kp6ejoKAA1dXVouOQm2AhO1jHb9p8BIrUpmMP5Li4OLFBVGrDhg3Q6XTYtm2b6CjkJljIDubp6YnU1FQUFBSgpqZGdByiBxRFwfjx4xEUFCQ6iiqFhIRg9erVyMnJQWtrq+g45AZYyE6QnJwMAMjLyxOchOh7HOh6PKPRiKqqKuzbt090FHIDLGQnGD58OBISEpCTk4O2tjbRcYhgtVpRXFzMQn6MyZMn40c/+hEyMjK4gxs5HAvZSWRZRkVFBT788EPRUYhQVlaGu3fvspD7wGQy4fjx4zh27JjoKOTiWMhOEhMTg3nz5vERKFKFjoEuFvLjLVy4EBMnTuRCIeRwLGQnkmUZR48exfHjx0VHITenKApGjhyJsLAw0VFUT6fTwWg04o9//COuX78uOg65MBayEy1evBiRkZE8SybhONDVP2vXroWfnx9ycnJERyEXxkJ2Ir1eD4PBgL1796Kqqkp0HHJjLOT+CQgIQFJSErZt24b79++LjkMuioXsZImJifD29sbWrVtFRyE3dfPmTVRWVrKQ+yk9PR11dXXYtWuX6CjkoljIThYUFIR169YhNzcXzc3NouOQG+JA18BERkZi6dKlyMzM5CNQ5BAsZAEMBgOqq6uxe/du0VHIDSmKgsDAQIwfP150FM2RZRlnzpzBoUOHREchF8RCFuCpp57CokWL+Js2CaEoCuLi4qDT8e3fX3PmzEFcXBwHM8kh+I4URJZlFBcX4/Dhw6KjkJvhQNfASZIEWZZx4MABnDt3TnQccjEsZEHmz5+P6Oho7rdKTlVfX4+LFy+ykAdh1apVGDFiBHdwI7tjIQsiSRKMRiMKCwtx9epV0XHITZw8eRIAB7oGw8fHB5s2bcKOHTtw9+5d0XHIhbCQBVqzZg0CAwO52AA5jaIo8Pb2xqRJk0RH0bSUlBS0trbinXfeER2FXAgLWSA/Pz8kJSUhLy8PjY2NouOQG1AUBVOmTIGnp6foKJo2atQorFq1CtnZ2Whvbxcdh1wEC1mw9PR01NfXc7EBcgoOdNmPLMu4evUqPv74Y9FRyEWwkAUbO3Ysli1bhqysLD4CRQ7V0tKCb7/9loVsJ9OmTcMLL7zAXaDIbljIKsDFBsgZvv32W7S3t7OQ7chkMuHw4cMPVj8jGgwWsgq8+OKLXGyAHE5RFEiShKlTp4qO4jKWLl2KMWPG8L1LdsFCVoHOiw2cP39edBxyUYqiICoqCn5+fqKjuAwPDw8YDAZ88MEHuHnzpug4pHEsZJVYtWoVQkNDudgAOQwHuhzjjTfegIeHB3Jzc0VHIY1jIatE58UG6urqRMchF2M2m1FcXMxCdoBhw4Zh3bp12LJlC1paWkTHIQ1jIatISkoKWlpasH37dtFRyMVcuHAB9+/fZyE7iNFoxK1bt7Bnzx7RUUjDWMgqEhYWhvj4eGRnZ8NsNouOQy6EeyA7VlRUFBYuXIiMjAw+vkgDxkJWGaPRiCtXruDTTz8VHYVciKIoGDNmDEJCQkRHcVmyLENRFBw5ckR0FNIoFrLKzJgxA7NmzeIuUGRXHOhyvAULFiA6OpoLhdCAsZBVSJZlfPHFFygpKREdhVyA1WplITtBx+OLH330EcrKykTHIQ1iIavQihUrEBERwbNksovy8nLU1taykJ1g9erVCAwMxObNm0VHIQ1iIauQp6cnUlNTUVBQgJqaGtFxSOM40OU8fn5+SE5Oxttvv42GhgbRcUhjWMgqlZycDADIy8sTnIS0TlEUhISEYPTo0aKjuIW0tDQ0NDTg3XffFR2FNIaFrFLDhw9HQkICcnJy0NbWJjoOaVjH/WNJkkRHcQtjxozB8uXLkZWVBYvFIjoOaQgLWcVkWUZFRQU+/PBD0VFIwzjQ5XyyLOP8+fP47LPPREchDWEhq1hMTAzmzZvHnWRowGpra3Ht2jUWspM999xzePbZZ/nepX5hIaucLMs4evQojh8/LjoKaVBxcTEADnQ5W8cjUH/6059QWloqOg5pBAtZ5RYvXozIyEj+pk0DoigKhgwZgokTJ4qO4nbi4+MxatQoPr5IfcZCVjm9Xg+DwYC9e/eiqqpKdBzSGEVREBsbC71eLzqK2/Hy8kJqaip27tyJ27dvi45DGsBC1oDExER4e3tj69atoqOQxnCgS6yNGzfCYrHw8UXqExayBgQFBWHdunXIzc1Fc3Oz6DikEY2NjTh79iwLWaARI0bg9ddfx+bNm/n4Ij0WC1kj0tPTUV1djd27d4uOQhpx6tQpWK1WFrJgsiyjvLwchYWFoqOQyrGQNaJjv9WsrCzut0p9oigKPDw8MGXKFNFR3FpsbCzmzp3LXaDosVjIGsL9Vqk/FEXB5MmT4e3tLTqK2zOZTHx8kR6LhawhHfut8hEo6gsOdKkHH1+kvmAha4gkSTAajSgsLMTVq1dFxyEVa2trQ0lJCQtZJfR6PYxGI/bs2YPKykrRcUilWMgas2bNGgQGBiInJ0d0FFKxM2fOoLW1lYWsIuvXr4ePjw8fX6QesZA1xs/PD0lJScjLy0NjY6PoOKRSHXsgx8bGCk5CHYKCgpCYmMjHF6lHLGQNSk9PR319PXbt2iU6CqmUoiiYMGECAgMDRUehTgwGA2pra/H++++LjkIqxELWoLFjx2LZsmV8BIp6xIEudZowYQIWL16MjIwMvnfpESxkjZJlGWfOnMGhQ4dERyGVsVgsKC4uZiGrlCzLKCkpwV/+8hfRUUhlWMga9eKLLyIuLo6PUdAjrly5gvr6ehaySv3whz/ElClTuFAIPYKFrFEd+60eOHAA58+fFx2HVKRjoIuFrE4d791PPvkEly5dEh2HVISFrGGrVq1CaGgosrOzRUchFVEUBWFhYRg5cqToKNSDhIQEBAcH871LXbCQNczHxwebNm3Cjh07UFdXJzoOqQQHutTP19cXGzduxPbt21FfXy86DqkEC1njNm3ahObmZuTn54uOQipRVFTEQtaA1NRUNDU18b1LD7CQNS48PBzx8fHIzs6G2WwWHYcEq6qqws2bN1nIGhAREYGVK1fyvUsPsJBdgCzLuHz5Mvbv3y86CgnGgS5tkWUZly5d4nuXALCQXcKMGTMwa9YsPgJFUBQFQUFBiIyMFB2F+mDmzJl879IDLGQXIcsyvvjiC5SUlIiOQgJ1DHRJkiQ6CvVRx3v31KlToqOQYCxkF7FixQpEREQgKytLdBQSiBPW2sP3LnVgIbsIT09PpKamoqCgADU1NaLjkAB1dXW4fPkyC1ljPD09kZaWhoKCAlRXV4uOQwKxkF1IcnIyACAvL09wEhKhuLgYAAe6tCg5ORmSJGHbtm2io5BALGQXMnz4cCQkJCAnJwdtbW2i45CTKYoCHx8fREdHi45C/RQSEoLVq1cjJycHra2touOQICxkFyPLMioqKvDhhx+KjkJOpigKYmJi4OHhIToKDYAsy6iqqsK+fftERyFBWMguJiYmBvPmzeNjFG6IA13aNnnyZPzoRz/iXslujIXsgmRZxtGjR3H8+HHRUchJmpubUVpaykLWOJPJhOPHj+PYsWOio5AALGQXtHjxYkRGRvIs2Y2cPn0aZrOZhaxxCxcuxMSJE/nedVMsZBek1+thMBiwd+9eVFVViY5DTqAoCnQ6HWJiYkRHoUHQ6XQwGo3Yt28frl+/LjoOORkL2UWtX78eXl5eyM3NFR2FnEBRFERHR2PIkCGio9AgrV27Fn5+ftiyZYvoKORkLGQXNXToUKxbtw65ubloaWkRHYccjFsuuo6AgAAkJSXhrbfewv3790XHISdiIbswg8GAW7duYffu3aKjkAOZzWacOnWKhexC0tPTUVdXh4KCAtFRyIlYyC4sKioKCxcuRGZmJh+jcGHnzp1DU1MTC9mFREZGYunSpXzvuhkWsouTZRmKouDIkSOio5CDdOyBHBcXJzYI2ZUsyygtLcXnn38uOgo5CQvZxS1YsADR0dF8jMKFKYqCcePGITg4WHQUsqM5c+YgNjYWGRkZoqOQk7CQXZwkSTAajSgsLMTVq1dFxyEH4ApdrkmSJJhMJhw4cADnz58XHYecgIXsBtasWYPAwEDk5OSIjkJ2ZrVaWcgubNWqVQgNDeVeyW6ChewG/Pz8kJSUhLy8PDQ2NoqOQ3Z07do13Llzh4Xsonx8fJCSkoIdO3bg7t27ouOQg7GQ3UR6ejrq6+uxa9cu0VHIjjoGuljIrislJQWtra145513REchB2Mhu4mxY8di2bJlyMrK4mMULkRRFISGhiI8PFx0FHKQUaNGYdWqVcjOzkZ7e7voOORALGQ3Issyzpw5g0OHDomOQnbScf9YkiTRUciBZFnG1atX8fHHH4uOQg7EQnYjL774IuLi4vgIlAvhQJd7mDZtGl544QW+d10cC9mNSJIEWZb5GIWLqKmpQXl5OQvZTciyjK+++urB3AC5Hhaym+l4jGLz5s2io9AgcaDLvSxbtgxjxozhWbILYyG7GR8fH2zcuBH5+fmoq6sTHYcGQVEU+Pv7Y8KECaKjkBN4eHggPT0dH3zwAW7evCk6DjkAC9kNpaSkoLm5Gfn5+aKj0CAUFRUhNjYWOh3fxu4iKSkJHh4e3OfcRfGd7IbCw8MRHx+P7OxsmM1m0XFogDjQ5X6GDRuGtWvXYsuWLdzn3AWxkN2ULMu4fPky9u/fLzoKDUBDQwMuXLjAQnZDRqMRt27dwp49e0RHITtjIbupGTNmYNasWRwQ0aiTJ0/CarWykN1QdHQ0fvzjHyMjI4OL/LgYFrIbk2UZX3zxBUpKSkRHoX5SFAWenp6YPHmy6CgkgMlk4j7nLoiF7MZWrFiBiIgI7iSjQYqiYMqUKfDy8hIdhQTgPueuiYXsxjw9PZGamoqCggLU1NSIjkP9wIEu99axyE9hYSHKyspExyE7YSG7ueTkZABAXl6e4CTUV62trTh9+jQL2c2tXr2a+5y7GBaymxs+fDgSEhKQk5ODtrY20XGoD0pLS9HW1sZCdnN+fn5ITk5GXl4eGhoaRMchO2AhE2RZRkVFBT788EPRUagPFEWBJEmIjY0VHYUES0tLQ0NDA3bu3Ck6CtkBC5kQExODefPmcUBEIxRFwcSJE+Hv7y86Cgk2ZswYLF++HJmZmbBYLKLj0CCxkAmA7Sz56NGjOH78uOgo9Bgc6KLOZFnG+fPncfDgQdFRaJBYyAQAWLx4MSIjI/kIlMpZLBYUFxezkOmB5557DtOmTUNGRoboKDRILGQCAOj1eqSnp2PPnj2oqqoSHYd6cOnSJTQ0NLCQ6QFJkmAymfCnP/0JpaWlouPQILCQ6YHExER4eXlxJxkV4x7I1J34+HiMGjWKV7g0joVMDwwdOhTr1q1Dbm4ud5JRKUVREBERgdDQUNFRSEW8vLyQmpqKnTt34vbt26Lj0ACxkKkLg8GAW7duYffu3aKjUDeKiop4dkzd2rhxI8xmMxf50TAWMnURFRWFhQsXIjMzkzvJqIzVauWENfVoxIgRSEhIwObNm7nIj0axkOkRsixzJxkVqqysRHV1NQuZeiTLMsrLy1FYWCg6Cg0AC5kewZ1k1IkDXfQ4sbGxmDt3Lt+7GsVCpkdIkgSj0YjCwkJcvXpVdBz6jqIoGDZsGMaOHSs6CqmYLMv4+uuvuciPBrGQqVtr1qzhTjIq03H/WJIk0VFIxZYsWYLIyEieJWsQC5m65efnh6SkJOTl5aGxsVF0HAKXzKS+0ev1MBgM2LNnDyorK0XHoX5gIVOP0tPTUV9fj127domO4vbu3LmDsrIyFjL1SWJiInx8fLB161bRUagfWMjUo7Fjx2LZsmXIysriI1CCFRcXA+BAF/VNUFAQ1q9fj9zcXDQ3N4uOQ33EQqZeGY1GnDlzBocOHRIdxa0pigJfX19ERUWJjkIaYTAYUFtbi/fff190FOojFjL1as6cOYiNjeUauYIpioKpU6dCr9eLjkIaMXHiRPzkJz9BRkYGr3BpBAuZeiVJEmRZxv79+3HhwgXRcdwWB7poIEwmE0pKSvCXv/xFdBTqAxYyPdZrr72G0NBQZGdni47ilpqamnD27FkWMvXbD3/4Q0yZMoWPQGkEC5key8fHBxs3bkR+fj7q6upEx3E7JSUlMJvNLGTqt44rXB9//DEuXbokOg49BguZ+iQlJQXNzc3Iz88XHcXtKIoCvV6PmJgY0VFIgxISEhAcHIzNmzeLjkKPwUKmPgkPD0d8fDyys7NhNptFx3ErRUVFmDRpEnx8fERHIQ3y9fXFxo0b8c4776C+vl50HOoFC5n6TJZlXL58Gfv37xcdxa1woIsGKzU1FU1NTdixY4foKNQLFjL12YwZMzBr1iwOiDhRe3s7SkpKWMg0KBEREVi5ciWysrJ4hUvFWMjUL7Is44svvkBJSYnoKG7h7NmzaG5uZiHToMmyjEuXLuHAgQOio1APWMjULytWrEBERAQXCnGSjj2Q4+LixAYhzZs5cyZmzpyJjIwM0VGoByxk6hdPT0+kpqaioKAANTU1ouO4PEVREBkZiaFDh4qOQi7AZDLxCpeKsZCp35KTkwEAeXl5gpO4PkVR8Mwzz4iOQS6i4woX50DUiYVM/TZ8+HAkJCQgJycHbW1touO4LKvViuLiYt4/Jrvx9PREWloaCgoKUF1dLToOPYSFTANiNBpRUVGBDz/8UHQUl1VWVoa7d++ykMmukpOTIUkStm3bJjoKPYSFTAMydepUzJ07l8NdDtQx0MVCJnsKCQnB6tWrsWXLFrS2toqOQ52wkGnAZFnG119/jRMnToiO4pIURcHIkSMRFhYmOgq5GKPRiMrKSuzbt090FOqEhUwDtmTJEkRGRnJAxEG4Qhc5ypQpU/CjH/2IeyWrDAuZBkyv1yM9PR179uxBVVWV6Dguh4VMjiTLMo4fP45jx46JjkLfYSHToCQmJsLLywu5ubmio7iUW7duobKykoVMDrNo0SJMmDCBV7hUhIVMgzJ06FCsW7cOubm5aGlpER3HZXCgixxNp9PBaDRi3759uH79uug4BBYy2YHBYMCtW7ewe/du0VFcRlFREQICAjB+/HjRUciFrVu3Dn5+ftiyZYvoKAQWMtlBVFQUFi5ciMzMTA6I2ImiKIiLi4NOx7coOU5AQADeeOMNvPXWW7h//77oOG6P73ayC1mWoSgKjhw5IjqKS+BAFzmLwWBAXV0dCgoKREdxeyxksosFCxYgOjqaAyJ2UF9fj4sXL7KQySkiIyPx05/+lFe4VICFTHYhSRKMRiMKCwtx9epV0XE07eTJkwA40EXOYzKZUFpais8//1x0FLfGQia7WbNmDQIDA5GTkyM6iqYpigIvLy88/fTToqOQm5gzZw5iY2N5hUswFjLZjZ+fH5KSkpCXl4fGxkbRcTRLURRMmTIFnp6eoqOQm5AkCSaTCfv378f58+dFx3FbLGSyq7S0NNTX13NAZBC4BzKJsGrVKoSGhiI7O1t0FLfFQia7GjduHJYuXYqsrCwOiAxAS0sLvv32W94/Jqfz8fFBSkoK8vPzcffuXdFx3BILmexOlmUOiAzQt99+i/b2dhYyCZGSkoLW1lZs375ddBS3xEImu+OAyMApigJJkjB16lTRUcgNjRo1CqtWrUJ2djbMZrPoOG6HhUx2J0kSZFnG/v37ceHCBdFxNEVRFERFRcHPz090FHJTsiyjrKwMH3/8segoboeFTA7x2muvcUBkALhCF4k2bdo0PP/888jIyBAdxe2wkMkhfHx8sHHjRuTn56Ourk50HE0wm804efIkC5mEM5lM+Oqrrx7sOkbOwUImh0lJSUFzczPy8/NFR9GEixcvorGxkYVMwi1btgxjxozhHIiTsZDJYcLDwxEfH88BkT4qKioCwCUzSTwPDw+kp6fjgw8+wM2bN0XHcRssZHIoWZZx+fJl7N+/X3QU1VMUBU888QRCQkJERyFCUlISPDw8kJubKzqK22Ahk0PNmDEDs2bN4qWvPuBAF6nJsGHDsHbtWmzduhUtLS2i47gFFjI5nCzL+OKLL1BSUiI6impZrVYWMqmO0WjEzZs3sWfPHtFR3AILmRxuxYoViIiIQFZWlugoqlVeXo7a2loWMqlKdHQ0fvzjHyMjI4NL4ToBC5kcztPTE6mpqSgoKEBNTY3oOKrU8XgJC5nURpZlKIqCI0eOiI7i8ljI5BQbNmyA1WrF22+/LTqKKimKguDgYDzxxBOioxB1sWDBAkRHR3MOxAlYyOQUoaGhSEhIQE5ODtra2kTHUZ2O+8eSJImOQtSFTqeD0WhEYWEhysrKRMdxaSxkchpZllFeXo7CwkLRUVSHeyCTmq1ZswaBgYHIyckRHcWlsZDJaaZOnYq5c+fy0tdDamtrce3aNd4/JtXy8/PDhg0bkJeXh4aGBtFxXBYLmZxKlmV8/fXXOHHihOgoqlFcXAyAA12kbunp6WhoaMDOnTtFR3FZLGRyqiVLliAyMpJnyZ0oioIhQ4Zg4sSJoqMQ9WjMmDH42c9+hszMTFgsFtFxXBILmZxKr9cjPT0de/bsQVVVleg4qqAoCmJjY6HX60VHIeqVyWTC+fPncfDgQdFRXBILmZwuMTERXl5eXCP3O1yhi7Tiueeew7Rp03iFy0FYyOR0Q4cOxbp165Cbm+v2a+Tev38f586dYyGTJkiSBJPJhIMHD+LMmTOi47gcFjIJYTAYcOvWLezevVt0FKFOnToFi8XCQibNiI+Px6hRo7gUrgOwkEmIqKgoLFy4EJmZmW69Rm5RURE8PDwwZcoU0VGI+sTLywupqal49913cfv2bdFxXAoLmYThGrm2+8dPP/00vL29RUch6rONGzfCbDZzKVw7YyGTMFwjlwNdpE0jRoxAQkICNm/ejPb2dtFxXAYLmYSRJOnBGrlXr14VHcfp2traUFJSwkImTZJlGdevX+dSuHbEQiahVq9ejYCAAGzZskV0FKc7c+YMWltbWcikSbGxsXjppZeQkZEhOorLYCGTUP7+/khKSkJeXh4aGxtFx3Gqjj2Q4+LixAYhGiCTyYSvv/4ax48fFx3FJbCQSbj09HTU1dWhoKBAdBSnUhQFTz75JAIDA0VHIRoQLoVrXyxkEm7cuHFYunQpsrKy3OoRKA50kdbp9XoYDAbs3bsXlZWVouNoHguZVEGWZZSWluLzzz8XHcUpLBYLiouLuQcyaV5iYiK8vb2xdetW0VE0j4VMqjBnzhzExsa6zaWvK1euoL6+nmfIpHlBQUFYv349cnNz0dzcLDqOprGQSRUkSYIsy9i/fz8uXLggOo7DdQx0sZDJFRgMBtTW1uL9998XHUXTWMikGq+99hpCQ0ORnZ0tOorDKYqCsLAwjBw5UnQUokGbOHEifvKTn7j9UriDxUIm1fDx8cHGjRuRn5+Puro60XEcigNd5GpkWcapU6fwl7/8RXQUzWIhk6qkpKSgubkZ+fn5oqM4FAuZXM3LL7+MyZMnu80ciCOwkElVwsPDER8fj+zsbJjNZtFxHKKqqgo3btxgIZNL6ZgD+fjjj3Hp0iXRcTSJhUyqI8syLl++jP3794uO4hAc6CJX9Ytf/ALBwcHYvHmz6CiaxEIm1ZkxYwZmzZrlspe+FEVBUFAQIiMjRUchsitfX18kJyfjnXfeQX19veg4msNCJlWSZRlffPEFSkpKREexO0VREBcXB0mSREchsrvU1FQ0NTVhx44doqNoDguZVGnFihUIDw93yUegONBFrmz06NF49dVXkZWV5bJzII7CQiZV8vT0RGpqKnbt2oXa2lrRceymrq4Oly9fZiGTSzOZTLh06RIOHDggOoqmsJBJtZKTk2G1WpGXlyc6it0UFxcD4EAXubaZM2di5syZLjsH4igsZFKt0NBQJCQkICcnB21tbaLj2IWiKPD29kZ0dLToKEQOZTKZ8Oc//9kl50AchYVMqibLMsrLy1FYWCg6il0oioKYmBh4enqKjkLkUCtWrEBERASysrJER9EMFjKp2tSpUzF37lyXufTFgS5yF56enkhLS0NBQQFqampEx9EEFjKpnizL+Prrr3HixAnRUQalubkZpaWl3AOZ3EZycjIAYNu2bYKTaAMLmVRvyZIliIyM1PxZ8unTp2E2m3mGTG4jJCQEq1evdqk5EEdiIZPq6fV6pKenY8+ePaiqqhIdZ8AURYFOp0NMTIzoKEROYzQaUVlZiX379omOonosZNKExMREeHl5ITc3V3SUAVMUBdHR0RgyZIjoKEROM2XKFLz88svIyMgQHUX1WMikCUOHDsW6deuQm5uLlpYW0XEGhANd5K5MJhO++eYbHDt2THQUVWMhk2YYDAbcunULu3fvFh2l38xmM06ePMlCJre0aNEiTJgwgWfJj8FCJs2IiorCwoULkZmZCavVKjpOv5w7dw5NTU0sZHJLOp0ORqMR+/btQ3l5ueg4qsVCJk0xGo1QFAVHjhwRHaVfOvZAjouLExuESJB169bBz88POTk5oqOoFguZNGXBggWIiorS3Oo/iqJg7NixCA4OFh2FSIiAgAC88cYb2LZtG+7fvy86jiqxkElTOi59FRYW4tq1a6Lj9BkHuoiA9PR03LlzBwUFBaKjqBILmTRnzZo18Pf318ylL6vVykImAjB+/HgsXbpUk3MgzsBCJs3x9/dHUlIS8vLy0NjYKDrOY127dg137txhIRPBthRuaWkpPv/8c9FRVIeFTJqUnp6Ouro6TVz66hjoYiETAS+99BJiY2M1vxSuI7CQSZPGjRuHpUuXIisrS/WXvhRFwfDhwxERESE6CpFwkiRBlmXs378f58+fFx1HVVjIpFlaufTVcf9YkiTRUYhU4bXXXkNoaCiys7NFR1EVFjJp1pw5czRx6YsDXURd+fj4YNOmTcjPz8fdu3dFx1ENFjJpVudLXxcuXBAdp1s1NTUoLy/nHshED0lJSUFrayu2b98uOopqsJBJ09R+6YsDXUTdCwsLw89//nNkZ2fDbDaLjqMKLGTSNB8fH2zcuBH5+fmoq6sTHecRiqLA398fEyZMEB2FSHVMJhPKysrw8ccfi46iCixk0ryUlBQ0NzcjPz9fdJRHKIqC2NhY6HR8qxE9bNq0aXj++edVPwfiLPy/BGleeHg44uPjVXnpiwNdRL0zmUz461//iuLiYtFRhGMhk0swGo24fPky9u/fLzrKAw0NDTh//jwLmagXy5Ytw5gxY3iWDBYyuYiZM2di5syZqtoF6uTJk7BarSxkol54eHggPT0d77//Pm7evCk6jlAsZHIZsizjz3/+M06fPi06CgDb5WpPT09MnjxZdBQiVUtKSoKHhwfeeust0VGEYiGTy3j11VcRHh6umrNkRVEwefJkeHl5iY5CpGrDhg3D2rVrsWXLFrS0tIiOIwwLmVyGp6cnUlNTsWvXLtTW1oqOw4Euon4wGo24efMm9u7dKzqKMCxkcinJycmwWq3Iy8sTmqO1tRWnT59mIRP1UXR0NF555RVkZGSofsMYR2Ehk0sJDQ1FQkICcnJy0NbWJixHaWkp2traWMhE/WAymVBUVIS//e1voqMIwUImlyPLMsrLy1FYWCgsg6IokCQJsbGxwjIQac2CBQsQFRWFjIwM0VGEYCGTy5k6dSrmzp0r9LlGRVEwYcIEBAQECMtApDU6nQ6yLKOwsBBXr14VHcfpWMjkkmRZxtdff40TJ04I+fkc6CIamDVr1iAwMBCbN28WHcXpWMjkkpYsWYLIyEghZ8kWiwXFxcXccpFoAPz8/LBhwwa8/fbbaGhoEB3HqVjI5JL0ej3S09OxZ88eVFVVOfVnX7p0CQ0NDTxDJhqgtLQ01NfXY+fOnaKjOBULmVxWYmIivLy8kJub69Sfyz2QiQZn7NixWL58ObKysmCxWETHcRoWMrmsoUOHYt26dcjNzXXq6j+KoiAiIgKhoaFO+5lErkaWZZw7dw4HDx4UHcVpWMjk0gwGA27duoU9e/Y47WdyoIto8J5//nlMmzbNrXaBYiGTS4uKisKPf/xjZGZmOmX1H6vViqKiIhYy0SBJkgRZlnHw4EGcOXNGdBynYCGTy5Nl2Wmr/1RWVqK6upqFTGQH8fHxGDVqlGo2jHE0FjK5vI7Vf5xx6YsDXUT24+3tjZSUFLz77ru4ffu26DgOx0Iml6fT6WA0GlFYWIhr16459GcpioJhw4Zh7NixDv05RO5i06ZNMJvNePvtt0VHcTgWMrmFNWvWwN/fHzk5OQ79OYqiIC4uDpIkOfTnELmLESNG4PXXX8fmzZvR3t4uOo5DsZDJLfj7+yMpKQl5eXlobGx02M/hhDWR/cmyjOvXrwvdMMYZWMjkNtLT01FXV4eCggKHHP/OnTsoKytjIRPZWVxcHF566SWX3wWKhUxuY9y4cVi6dCmysrIc8ghUcXExAA50ETmCyWQSumGMM7CQya3IsozS0lJ8/vnndj+2oijw8fFBVFSU3Y9N5O5EbhjjLCxkcitz5sxBbGysQ97UiqJg6tSp8PDwsPuxidydXq+HwWAQsmGMs7CQya10rP6zf/9+XLhwwa7H5kAXkWMlJibC29sbW7duFR3FIVjI5HZee+01hIaGIjs7227HbGpqwtmzZ7kHMpEDBQUFYf369cjNzUVzc7PoOHbHQia34+Pjg40bNyI/Px91dXV2OWZJSQnMZjPPkIkczGAwoKamBh988AGKy4B/2AWsygJ+8hvbP/9hF1BcJjrlwLCQyS2lpKSgubkZO3bssMvxFEWBXq9HTEyMXY5HRN0bGzkRU3/6W6R99Cx+8Csg6zPgD8eAA8W2f/6/v30TP4iUMPOfgYLDQKuG1hJhIZNbCg8Px8qVK5GdnQ2z2Tzo4ymKgkmTJsHHx8cO6YioO7X3gJf+HTjp+0s0+TwNAGi3AJbvnmK0WIGOJxpPXAZWb7F9f+09QYH7iYVMbkuWZVy6dAkHDhwY9LE40EXkWDX1wKx/AY5f/u4TOn2v399R0scv216nhVJmIZPbmjlzJmbOnDnoR6Da29tx6tQpFjKRg7S2A0t+B1ypBsyW/r3WbLG9bvFv1X/5moVMbk2WZfz5z3/G6dOnB3yMs2fPorm5mYVM5CB7jwLHLnZTxtVHgD9NB/b6AJ88CVx8q9vXmy221//hmOOzDgYLmdzaq6++ivDw8EFtgN6xB3JcXJydUhFRZ9kHAd3DG6jdLQH+sgBovgVMeRMYvx44/W9ARfcbUOgk23HUjIVMbs3T0xOpqanYtWsXamtrB3QMRVEQGRmJoUOH2jccEUG5Anxz6ft7wg+U/CsAK/DyYeDpfwIm/zMw70ug7ttuj2OxAn+/qO5HoljI5PaSk5NhtVqRl5c3oNdzoIvIcQqOAB4PN5XFDNw4CEQsA/zGfP/5oEnAqFd6PJaH3nY8tWIhk9sLDQ1FQkICcnJy0NbW1q/XWq1WFBcXs5CJHORadTssD+/O1lINmJuAgImPviCw581dLBag4radA9oRV8Engm24a/v27SgsLER8fHyfX1dWVoa7d++ykIn6qaWlBVVVVaisrOzy5+HP3Y3ZBUQstsvPtFiB+ia7HMohWMhEAKZOnYq5c+ciMzOzX4XcMdDFQiayaW1txY0bN7ot286l+/DMho+PD8LDwx/8mTx5MsLDw/HhjSk4fsMKi7XTVJd3KKD3Be51s0FM/bkes+kkINDXXn9T+2MhE31HlmX87Gc/w4kTJ/Dss8/26TWKomDEiBEICwtzcDoisdrb23Hz5s1ez2YrKytRXV3d5XWenp5dinbevHkIDw9HWFhYl88PHToUkvTwKDVwcxfw/3320FCXTm+7V1zxEdB47fv7yHVnbPeWe6CTgIhgO/zHcBDJan344vyj6uvrERQUhLq6OgQGBjojF5HTmc1mTJw4Ec8//zx27drVp9csXrwY7e3t+OyzzxycjsgxzGYzqqurez2braysxM2bN9G5Ljw8PDBq1Kgupfrwn7CwMISEhHRbtH1VXAb84FfdfOHuKeDQTMB7BDAxFbC0AxeyAZ+Rtq+t6r7alP8C4sYNOM6A9LVDeYZM9B29Xo/09HT80z/9E37729/26axXURSsWbPGCemI+sdisaCmpqbXs9mOou28nrtOp+tStNOnT++2bIcPHw6dzvFzwXHjgBlP2tam7nKWPHQq8NJBQPmftkegfEcDU/4daKqyFfJDdBIw/Unnl3F/8AyZqJO7d+9i9OjR+OUvf4k333yz1++9desWRo4cib1792LlypXOCUhuz2q14vbt248dhqqqqkJ7+/drRUqShBEjRnR7Ftv54xEjRkCv732daGcrOGzbKGLQx0kDEl4Y/HH6i2fIRAMwdOhQrF27Flu3bsWvfvUreHt79/i9HOgie7Jarbh79+5jh6EqKyvR2tra5bWhoaEPinXy5MmYP3/+I6U7cuRIeHp6CvrbDU78bCDnT7aNIvq7ljUA6HXA9PHAyln2z2ZPLGSihxiNRmzZsgV79uzp9XK0oigICAjA+PHjnZiOtMZqteLevXuPHYaqrKxEc3Nzl9cGBwc/KNWoqCjMnTv3kTPcUaNGwcvLS9Dfzjm8PIBP/9G2a1N/N5jQ64DIUNvrvVTeeLxkTdSNhQsX4tatWzhx4kSPAyk///nPUVVVha+++srJ6UgtGhoaeizXzp9vbGzs8rqgoKAeh6A6/zv31+6q9p5t16ZjF233hB9ZTrOTjq/PmmAr45AA5+V8GC9ZEw2CLMtYuHAh/va3v+GFF7q/6VRUVIRFixY5ORk5w/379x8Uam+XkO/d67rJbkBAwIMyjYiI6HYgKiwsDEOGDBH0N9O2kADgr/9m27Up+6BtbWoPvW0FLovVVsI6HdButg1wGV6xXaZW+5lxB43EJHKuBQsWICoqCpmZmd0Wcn19PS5evMj7xxrT59Wh7t7t8jpfX19EREQ8KNW4uLhuizYgQOBpmJvw8rANZiW8YHskquCIbTnM+ibboh8RwcAvXlD3NHVPWMhE3dDpdDAajTAajbh27RrGjBnT5esnT54EwIEutWhra8ONGzd6PJPtaXUob2/vbleHevjycWBg4KCepSXHiBunzeLtCQuZqAdr1qzBr3/9a+Tk5OA3v/lNl68pigIvLy88/fTTgtK5h4dXh+rp8nFvq0OFhYV1OwzV2+pQRCKwkIl64O/vj6SkJOTl5WHZujex74QvKu4A95qA0lMzMXTuO/i2wtOlfkN3lt5Wh+pcug+vDqXX67ucuT7//POPPEcbHh6O4OBgpyxaQWRPnLIm6kFrO5DzSTX+59YrQOUB4Nt/h7S8Glav4YDVDEkCrNBjxnfDI/GztTM84iidV4fqbRiqu9WhRo4c2esSjOHh4QgNDWXRkuZwyppoEL5/vCIUCA62FTKAB7++Snp0/OuJy7ZVhHL+JP7xCkexx+pQYWFhiIuLw6JFix4pXDWuDkXkbCxkoofU1AOz/9W2AAEAQOq9KDqehTx+2bZwwbH/1E4pD2Z1qOHDh3cZhpo/f/4jl4+1vDoUkbOxkIk6aW0Hlvyu/6sBAbbvv1JtO7P+67+JvXw92NWhOor1qaeeemQgKiwsDKNGjep1WVEi6j8WMlEne4/aVgHqUUsNcCIVqPoM0HkC434BxP4G0NtWVDJbbK//wzHHLWJvj9Whxo0bh+eee67bZRh9fVW8gzuRC2MhE3WSffAxS/L9LR7wGwfE/hdQcww4nwW03gFm7XzwLTrJdpz+FnJTU9Njh6G6Wx3Kz8/vwaIVHatDPXzpOCwsDH5+fv0LREROxUIm+o5yBfjm0mO+yT8SePH/2v59YhrgGQhc3AJE/9K2PytsZf73i7ZVhOLGdb86VHel293qUJ1L9eHVoTpKl6tDEbkGFjLRdwqOAB46oL23e8cT0rp+/JTBVsiVBx4UMgBI1nb8aEMBoPyy19WhwsLC8PTTT3f7qA9XhyJyLyxkou9U3Ol99xgAQMDErh/7PwlIOqCxrMunrZAQHB6D9T/8h0cuHw8bNoxFS0SPYCETfedeUx8K+RE9FKukx8Snp+FX/2vaYGMRkZvgkjdE3wnwtQ1k9ereha4fN1wErBbboFcnOsm28wwRUV+xkIm+EzGsD4V8Mafrx+ezbf8MW9jl0zrJtg0cEVFfsZCJvrP6xccMdAFAwxXgq58CF7YAR1fbBrrGvg4Mi+3ybe0W256sRER9xUIm+k7cOGDGk485S35uD6D3Bk7+E1C1H5iYDsx4p8u36CRg5gTX2qeViByPQ11EnRhesW0U8YiYN21/AOD5P/R6DIvVdhwiov7gGTJRJ/GzgVkTAP0A3xl6ne31K2fZNxcRuT4WMlEnXh62LRQjQ/tfynqd7XWf/iP3RSai/mMhEz0kJMC2heL08baPHzd53fH16eO1tfUiEakLC5moGyEBti0UC9KA6U/aPueh/758dZLtY8D29YI02/ezjIlooHhhjagHXh62HZsSXrBtFFFwBKi4DdQ32Rb9iAi2PdrEaWoisgcWMlEfxI1j8RKRY/GSNRERkQqwkImIiFSAhUxERKQCLGQiIiIVYCETERGpAAuZiIhIBVjIREREKsBCJiIiUgEWMhERkQqwkImIiFSAhUxERKQCLGQiIiIVYCETERGpAAuZiIhIBVjIREREKsBCJiIiUgEWMhERkQqwkImIiFSAhUxERKQCLGQiIiIVYCETERGpAAuZiIhIBVjIREREKsBCJiIiUgEWMhERkQqwkImIiFSAhUxERKQCHn35JqvVCgCor693aBgiIiJX09GdHV3akz4V8r179wAATzzxxCBjERERuad79+4hKCiox69L1sdVNgCLxYLKykoEBARAkiS7BiQiInJlVqsV9+7dQ3h4OHS6nu8U96mQiYiIyLE41EVERKQCLGQiIiIVYCETERGpAAuZiIhIBVjIREREKsBCJiIiUgEWMhERkQr8//9BNUypobNDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化\n",
    "plt.figure(figsize = (6,6))\n",
    "pos = nx.spring_layout(G, seed = 88)\n",
    "nx.draw_networkx(G, \n",
    "                 pos = pos,\n",
    "                 node_color = '#0058FF',\n",
    "                 with_labels = True,\n",
    "                 node_size = 188)\n",
    "plt.savefig('无向图.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ae60d380-b279-46ae-ae2c-6ffccd88a21e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建有向图\n",
    "Di_G = nx.from_edgelist(edgelist,\n",
    "                     create_using=nx.DiGraph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9b38ed38-e5d2-4f68-b115-dec1e0c593be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化\n",
    "plt.figure(figsize = (6,6))\n",
    "nx.draw_networkx(Di_G, \n",
    "                 pos = pos,\n",
    "                 node_color = '#0058FF',\n",
    "                 with_labels = True,\n",
    "                 node_size = 188)\n",
    "plt.savefig('有向图.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1d5d957-4eff-4644-9d00-d286adfbc9c3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
